It is an interesting perspective, but my experience is exactly the opposite. In Theano debugging was awful. TF felt like a breeze until it didn't. When I jumped on PyTorch - it TF started feeling confusing by comparison. Errors exactly in the defective lines, possibility to print everywhere (or using any other kind of feedback / logging intermediate results).

For using models it may note matter that much (though, again read YOLO in TF and PyTorch and then decide which is cleaner :)).

For new models which go beyond a standard ConvNet/LSTM... well, PyTorch is heaven, Theano sounds like a torture.